6,883 Data Scientists jobs in India

AI Engineer:
Design and implement generative AI models, including GANs, VAEs, and transformers, as well as large language models such as GPT, BERT, LLAMA and similar to create high quality synthetic data and other outputs.
Use cutting edge technologies to create a faster, more capable AI.
Preprocess and analyse large datasets to train and validate AI and LLM models.
Analyse statistics, data, and algorithms for projection accuracy.
Use AI analysis to make strategy recommendations that align with company goals.
Work with a team of machine learning and data engineers to ensure seamless AI development and integration.
Collaborate with software engineers to integrate AI models into production systems, ensuring scalability, reliability, and performance.
Collect, organize, and present progress with team leadership and stakeholders.
Maintain thorough documentation of models, experiments, and methodologies.
Qualifications:
Proficiency in programming languages such as Python, Java, or C++, with experience in libraries and frameworks for AI development.
Strong understanding of machine learning algorithms, deep learning architectures, and optimization techniques.
Hands-on experience with GANs, VAEs, transformers and LLMs such as GPT, BERT, LLAMA and similar with experience on TensorFlow, PyTorch, Keras, or Apache MXNet.
Familiarity with natural language processing libraries such as NLTK, spaCy, or Transformers.
Experience in computer vision tasks using frameworks like OpenCV, TensorFlow Object Detection API, or PyTorch Vision.
Familiarity with cloud platforms like AWS, GCP, or Azure.
Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
Effective communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
Demonstrated ability to manage multiple projects simultaneously and deliver high-quality results on time.

**About Virtusa**

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Role Description- Hands on experience in predictive analytics and statistical tools, machine learning algorithms and big data tools
- Identify, analyze and interpret trends or patterns in complex data sets using various regression, classification or clustering ML approaches
- Good familiarity with classic ML approaches
- Create visualizations to visually represent data for consumption by different audience.
- Role Description- Hands on experience in predictive analytics and statistical tools and big data tools
- Identify, analyze and interpret trends or patterns in complex data sets
- Manipulate, extract, process, and analyze large data sets to develop insights and surface implications using statistical techniques
- Create visualizations for consumption by varied audiences to convey understandable insights
- Define data store architecture

Required Technical Skills- SQL, no-SQL, Python,
- Hadoop, Spark, Storm, Hive
- Frameworks/libs: NumPy, SciPy, Pandas, Numpy, Matplotlib/Plotly, Statsmodels

Desirable Technical Skills- Elastic Stack, Git
- Frameworks/libs: TensorFlow, Keras, NLTK, Gensim, Scikit-learn
- Familiarity with HTTP and invoking web-APIs

Personal Skills- Experienced in managing work with distributed teams
- Experience working in SCRUM methodology
- Proven sense of high accountability and self-drive to take on and see through big challenges
- Confident, takes ownership, willingness to get the job done
- Excellent verbal communications and cross group collaboration skills

**Job Summary**:
Job Code - 24-D-50
Exp
- 7-8 Years
Location
- NCR

**Role Based Competencies**:

- Tech - Requirement Management S/W- Tech - NFR- Tech - High level design- Tech - Code quality and coding standards- Beh - Result Orientation- Tech - Code Reviews- Tech - Build Management- Tech - Unit Testing- Beh - Information Seeking- Tech - Agile Methodology- Tech - Analytical Problem Solving- Beh - Communication- Beh - Customer Orientation- Beh - Collaboration**Mandatory Competencies**:

- Data Science - Machine Learning (ML)**Good to Have Competencies**:

Role Description- Hands on experience in predictive analytics and statistical tools, machine learning algorithms and big data tools
- Identify, analyze and interpret trends or patterns in complex data sets using various regression, classification or clustering ML approaches
- Good familiarity with classic ML approaches
- Create visualizations to visually represent data for consumption by different audience.
- Role Description- Hands on experience in predictive analytics and statistical tools and big data tools
- Identify, analyze and interpret trends or patterns in complex data sets
- Manipulate, extract, process, and analyze large data sets to develop insights and surface implications using statistical techniques
- Create visualizations for consumption by varied audiences to convey understandable insights
- Define data store architecture

Required Technical Skills- SQL, no-SQL, Python,
- Hadoop, Spark, Storm, Hive
- Frameworks/libs: NumPy, SciPy, Pandas, Numpy, Matplotlib/Plotly, Statsmodels

Desirable Technical Skills- Elastic Stack, Git
- Frameworks/libs: TensorFlow, Keras, NLTK, Gensim, Scikit-learn
- Familiarity with HTTP and invoking web-APIs

Personal Skills- Experienced in managing work with distributed teams
- Experience working in SCRUM methodology
- Proven sense of high accountability and self-drive to take on and see through big challenges
- Confident, takes ownership, willingness to get the job done
- Excellent verbal communications and cross group collaboration skills

**Job Summary**:
Job Code - 26-D-00
Exp
- 8-9 Years
Location
- NCR

**Role Based Competencies**:

- Tech - Requirement Gathering- Beh - Assertiveness- Tech - Estimation- Tech - High level design- Tech - Low level design- Tech - Domain- Tech - Code quality and coding standards- Tech - Team Management- Beh - Problem Solving- Tech - Unit Testing- Tech - Agile Methodology- Tech - Systems Design and Architecture- Beh - Communication- Beh - Customer Orientation- Beh - Collaboration- Beh - Innovation**Mandatory Competencies**:

- Data Science - Machine Learning (ML)**Good to Have Competencies**:

The Specialized Analytics Sr Anlst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Excellent communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
**Responsibilities:**
+ Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
+ Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
+ Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
+ Incumbents in this role may often be referred to as Data Scientists
+ Specialization in marketing, risk, digital and AML fields possible
+ Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
**Qualifications:**
+ 8-12 years of experience in Data Scientist/Analytics
+ Must have the ability to retrieve and manipulation data
+ Advanced analytic ability and problem solving skills to proactively address business questions with innovative data driven solutions
+ Ability to build partnerships with cross-functional teams in order
+ Working experience in a quantitative field, Financial/Credit Card industry
+ Willing to learn and can-do attitude
+ Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment
+ Skills-SQL, Python, Machine Learning, Advance modelling, PySpark, Decision Tree
**Education:**
+ Bachelors/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
---
**Job Family Group:**
Decision Management
---
**Job Family:**
Specialized Analytics (Data Science/Computational Statistics)
---
**Time Type:**
Full time
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Bengaluru, Karnataka, India- Permanent- Software Engineering & Technology- 2 - 6 years**Job Description**:

- Demonstrable experience in theory and applied areas of Machine Learning/ Deep Learning
- Experience in developing pipelines for both structured and unstructured data
- Working knowledge in applied NLP (Offline LLM utilization is a plus)
- Practice with Deep Learning libraries e.g., Tensorflow, PyTorch
- Seasoned programming skills in Python, Java, R
- Good experience in RESTifying APIs and Dockerization
- Extensive Practice in writing good code using suitable data structures
- Excellent communication skills Broad experience working with Educational/ Finance data sets are encouraged
- Self-motivation and the appetite to build novel solutions or algorithms

Experience Range:
2 - 6 years

Educational Qualifications:

- B.Tech/B.E in Computers,

Job Responsibilities:

- Deliver high-quality AI models across a broad spectrum_ _of_ numeric _and_ text _analytics
- Understand the practical scope of the AI models within the products
- Use modeling techniques which include data acquisition from diverse sources, data exploration, feature engineering, evaluating algorithms /architectures and deploying the models iteratively to improve the final solution.
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Build and finetune models
- Might have the experiance with the technological stack would be
- Machine Learning & Deep Learning in either one of Python, Scikit-learn,TensorFlow, PyTorch
- Natural Language Processing (NLP) Hugging Face Transformers ,spaCy ,Gensim
- Database & Data Handling SQL ,Pandas ,Apache Spark
- Visualization & Collaboration Matplotlib/Seaborn ,Jupyter Notebooks ,Git/GitHub/GitLab
- Deployment AWS/GCP/Azure ,Docker ,MLflow

Skills Required:
Python, SQL, Apache Spark, Pytorch, Pandas, AWS, Azure, Git, Docker,

Job Code: KL-WZ3GQVPF

About Us

Mantra Labs is a global experience engineering & and technology consulting firm that builds intelligence-driven solutions and delivers digital-first customer experiences for global enterprises.

With its 275+ skilled and passionate technologists, the company specializes in providing end-to-end solutions for its clients across eight key industries. Mantra solves the most pressing front & back
- office challenges faced by BFSI, Healthcare and Consumer Internet enterprises. Having worked with some of the World’s leading Insurers like SBI General Insurance, Care Health Insurance, Pramerica, Aditya Birla Health and AIA Hong Kong along with unicorn consumer startups like Ola, Myntra, Yulu, BlueStone and Quikr - Mantra Labs has been deeply involved in developing AI-powered technology solutions for business-specific problems.

Why Us?

We are Technology Tinkerers and Experimenters. Building intuitive solutions for our Clients has led to significant milestones over the last 9 years.
You will find us often having animated debates over Node vs Java or RDBMS vs NoSQL Dbs. Geekiness is our thing and we absolutely love it! Freedom at work is at the core of what we aspire to do.
Be it project parties, team outings, or free Coffee! We like to celebrate our life in the office. Our cricket team trains regularly while TT acts as a quick stress-buster on a hectic day.
Our internal library has books from multiple genres to help Mantriks declutter their minds.
We have a certification policy to help our employees learn while they earn.
Our Knowledge sharing sessions include hackathons, training, trivia, quizzes, and presentations to help our employees upgrade their skills.
We have a trust-based leave policy where all the leaves are allotted in one go. No accrual business.
We take our Annual Trip very seriously - be it a weekend in Sakleshpur or Gokarna - the whole company goes as one.

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implementdata, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Consultant-Data Scientists with AI and Generative Model experience!

We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.

Responsibilities

Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.

Basics of Statistics

Experience in ML models Linear Regression, Logistic regression, Random forest etc

Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc.

Experience in Azure platform

Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.

Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.

Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.

Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.

Qualifications we seek in you:

Minimum Qualifications• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

• Experience in data science, machine learning, AI applications, and generative AI modelling.

• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.

• Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.

• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.

• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.

Preferred Qualifications/ skills• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.

• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance

• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Why join Genpact?

Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation 

Make an impact – Drive change for global enterprises and solve business challenges that matter 

Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities 

Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day 

Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress 

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together. 

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.

Inviting applications for the role of Senior Principal Consultant - Data Scientists with Computer vision experience!

We are seeking a tenured and highly skilled Data Scientist with deep expertise in Computer Vision and a strong foundation in AI/ML modeling. The ideal candidate will not only lead the development of intelligent vision systems but will also serve as a technical mentor, providing guidance to junior data scientists on model selection, optimization, and deployment strategies. Experience in domains such as energy, power generation, industrial equipment, or manufacturing will be considered a strong advantage, as the role involves solving real-world visual AI/ML problems in industrial environments.

Key Responsibilities:

Lead CV Projects: Design and deliver Computer Vision models across a range of use cases (e.g., anomaly detection, visual inspections, OCR, predictive maintenance).

Model Development: Develop, evaluate, and optimizestate-of-the-art AI/ML models (e.g., CNNs, Vision Transformers, YOLO, Faster R-CNN, etc.).

Mentorship: Guide junior and mid-level data scientists on best practices in feature engineering, model selection, evaluation metrics, and problem-solving strategies.

Domain Translation: Translate complex industrial problems into AI-driven CV solutions that can scale in production environments.

Collaboration: Work closely with software engineers, MLOps, and business teams to ensure model integration and operational success.

Code Quality & Experimentation: Drive code modularity, reproducibility, and experimentation through use of ML pipelines, version control, and testing.

Innovation & Research: Stay current with latest CV and AI/ML advancements and apply them appropriately to business problems.

Stakeholder Communication: Present insights, models, and outcomes in a clear and impactful way to both technical and non-technical stakeholders.

Qualifications we seek in you!

Minimum Qualifications

Master’s or PhD in Computer Science, Machine Learning, AI, Electrical Engineering, or a related field.

industry experience in building and deploying machine learning models, with a strong portfolio in Computer Vision.

Deep expertise in ML frameworks and CV libraries such as PyTorch, TensorFlow, OpenCV, Detectron2, MMDetection, etc.

Solid understanding of core AI/ML algorithms – classification, regression, segmentation, object detection, time-series, clustering, etc.

Experience with MLOps tools (e.g., MLflow, DVC, Kubeflow) and cloud platforms (AWS/GCP/Azure).

Strong communication, leadership, and team collaboration skills.

Preferred Qualifications:

Prior experience in domains such as energy, utilities, power generation, or industrial systems is highly preferred.

Experience deploying CV models within real-time environments.

Contributions to open-source CV projects or published research.

Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.

Lead the development of CI/CD pipelines and standardize deployment frameworks.

Strong Python programming skills.

Why join Genpact?

Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation 

Make an impact – Drive change for global enterprises and solve business challenges that matter 

Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities 

Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day 

Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress 

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together. 

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook. 

Inviting applications for the role of Principal Consultant-Data Scientists with AI and Generative Model experience!

We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.

Responsibilities • Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.

• Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc.

• Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.

• Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.

• Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.

• Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.

Qualifications we seek in you:

Minimum Qualifications• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

• Experience in data science, machine learning, AI applications, and generative AI modelling.

• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.

• Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.

• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.

• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.

Preferred Qualifications/ skills• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.

• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance

• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Why join Genpact?

Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation 

Make an impact – Drive change for global enterprises and solve business challenges that matter 

Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities 

Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day 

Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress 

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together. 

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook. 

Inviting applications for the role of Principal Consultant-Data Scientists with AI and Generative Model experience!

We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.

Responsibilities • Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.

• Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc.

• Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.

• Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.

• Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.

• Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.

Qualifications we seek in you:

Minimum Qualifications• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

• Experience in data science, machine learning, AI applications, and generative AI modelling.

• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.

• Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.

• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.

• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.

Preferred Qualifications/ skills• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.

• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance

• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Why join Genpact?

Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation 

Make an impact – Drive change for global enterprises and solve business challenges that matter 

Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities 

Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day 

Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress 

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together.